gpt-taste

Generate deterministic randomized UI layouts with GSAP animations and AIDA structure.

13|3|Updated Mar 2, 2026
One-click install
npx skills add https://github.com/misty-step/harness-kit --skill gpt-taste-misty-step
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gpt-taste
Source: https://github.com/misty-step/harness-kit/tree/main/skills/.external/leon-gpt-tasteskill
Command: npx skills add https://github.com/misty-step/harness-kit --skill gpt-taste-misty-step

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Strips away predictable UI patterns by introducing controlled, deterministic randomness to layouts, delivering premium, varied interfaces without sacrificing clarity or accessibility.

Core Features & Use Cases

  • Deterministic randomization that preserves typography harmony, spacing, and grid integrity across hero, features, and content sections.
  • AIDA-aligned page structure with a cinematic hero, dense bento grids, GSAP-based motion, and accessible contrast.
  • Reusable design primitives and asset injection to enable rapid prototyping of brand-forward marketing pages.

Quick Start

Run the deterministic design planner by feeding your prompt to generate an elite UI layout with GSAP motion.

Frequently Asked Questions about gpt-taste

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I use deterministic randomness in UI design to break conventional layouts?

Deterministic randomness in UI design applies controlled, seed-based variations to break predictable layout patterns while preserving typography harmony and tight grid integrity. This approach delivers premium, varied interfaces without sacrificing visual clarity or accessibility.

How do I implement GSAP animations for scroll-driven hero and feature sections?

GSAP animations for scroll-driven sections are implemented by applying deterministic randomization to layout properties across cinematic hero areas and dense bento grids. This creates premium frontend motion while maintaining tight grid systems and accessible contrast.

What is the AIDA structure for frontend web design and when do I need it?

AIDA structure for frontend web design aligns page sections to Attention, Interest, Desire, and Action stages. You need it when building brand-forward marketing pages requiring a cinematic hero, dense bento grids, and scroll-driven content to guide user conversion.

Can I use Python-driven randomness to generate frontend engineering layouts?

Yes, Python-driven randomness can generate frontend engineering layouts by calculating deterministic variations for typography, spacing, and grid properties. This drives layout variance across premium UI pages while ensuring outputs remain reproducible and accessible.

What is the best way to prototype premium marketing pages with reusable design primitives?

The best way to prototype premium marketing pages is injecting reusable design primitives into an AIDA-aligned structure. This enables rapid assembly of brand-forward layouts featuring deterministic randomization, tight grids, and GSAP-based motion.

Does applying layout variance to bento grids affect responsive design and accessible contrast?

Applying layout variance to bento grids does not compromise responsive design or accessible contrast when using deterministic randomization. The process explicitly preserves tight grid systems and maintains accessible contrast ratios across all hero and feature sections.